| rocplot | R Documentation | 
The 'rocplot' command generates a receiver operator characteristic plot to compare the in-sample (default) or out-of-sample fit for two logit or probit regressions.
rocplot(z1, z2,
cutoff = seq(from=0, to=1, length=100), lty1="solid",
lty2="dashed", lwd1=par("lwd"), lwd2=par("lwd"),
col1=par("col"), col2=par("col"),
main="ROC Curve",
xlab = "Proportion of 1's Correctly Predicted",
ylab="Proportion of 0's Correctly Predicted",
plot = TRUE,
...
)
| z1 | first model | 
| z2 | second model | 
| cutoff | A vector of cut-off values between 0 and 1, at which to evaluate the proportion of 0s and 1s correctly predicted by the first and second model. By default, this is 100 increments between 0 and 1 inclusive | 
| lty1 | the line type of the first model (defaults to 'line') | 
| lty2 | the line type of the second model (defaults to 'dashed') | 
| lwd1 | the line width of the first model (defaults to 1) | 
| lwd2 | the line width of the second model (defaults to 1) | 
| col1 | the color of the first model (defaults to 'black') | 
| col2 | the color of the second model (defaults to 'black') | 
| main | a title for the plot (defaults to "ROC Curve") | 
| xlab | a label for the X-axis | 
| ylab | a lavel for the Y-axis | 
| plot | whether to generate a plot to the selected device | 
| ... | additional parameters to be passed to the plot | 
if plot is TRUE, rocplot simply generates a plot. Otherwise, a list with the following is produced:
| roc1 | a matrix containing a vector of x-coordinates and y-coordinates corresponding to the number of ones and zeros correctly predicted for the first model. | 
| roc2 | a matrix containing a vector of x-coordinates and y-coordinates corresponding to the number of ones and zeros correctly predicted for the second model. | 
| area1 | the area under the first ROC curve, calculated using Reimann sums. | 
| area2 | the area under the second ROC curve, calculated using Reimann sums. | 
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